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Apache Spark 2.x Cookbook

You're reading from   Apache Spark 2.x Cookbook Over 70 cloud-ready recipes for distributed Big Data processing and analytics

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Product type Paperback
Published in May 2017
Publisher
ISBN-13 9781787127265
Length 294 pages
Edition 1st Edition
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Author (1):
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Rishi Yadav Rishi Yadav
Author Profile Icon Rishi Yadav
Rishi Yadav
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Apache Spark FREE CHAPTER 2. Developing Applications with Spark 3. Spark SQL 4. Working with External Data Sources 5. Spark Streaming 6. Getting Started with Machine Learning 7. Supervised Learning with MLlib — Regression 8. Supervised Learning with MLlib — Classification 9. Unsupervised Learning 10. Recommendations Using Collaborative Filtering 11. Graph Processing Using GraphX and GraphFrames 12. Optimizations and Performance Tuning

Developing a Spark applications in Eclipse with SBT

SBT is a build tool made especially for Scala-based development. SBT follows Maven-based naming conventions and declarative dependency management.

SBT provides the following enhancements over Maven:

  • Dependencies are in the form of key-value pairs in the build.sbt file, as opposed to the pom.xml file in Maven
  • It provides a shell that makes it very handy to perform build operations
  • For simple projects without dependencies, you do not even need the build.sbt file

In the build.sbt file, the first line is the project definition:

lazy val root = (project in file(".")) 

Each project has an immutable map of key-value pairs. This map is changed by the settings in SBT, as follows:

lazy val root = (project in file(".")). 
settings(
name := "wordcount"
)

Every change in the settings field leads to a new map...

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